RCensoredLogSplineDistribution (StochasticPetriNets)

java.lang.Object
- org.apache.commons.math3.distribution.AbstractRealDistribution
- - org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution
  - - org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

All Implemented Interfaces:

java.io.Serializable, org.apache.commons.math3.distribution.RealDistribution
```
public class RCensoredLogSplineDistribution
extends RLogSplineDistribution
```
Wraps the logspline density estimation for data that is randomly right-censored. This happens often, if only the fastest transition in the stochastic Petri net is observed. All competing transitions' samples that lost the race and whose sampled durations are not reconstructable from replay, need to be taken into account as censored data.
uses the oldlogspline function described in: Kooperberg, Charles, and Charles J. Stone. "Logspline density estimation for censored data." Journal of Computational and Graphical Statistics 1.4 (1992): 301-328.

Author:

Andreas Rogge-Solti

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field Description

protected static int counter
static counter to avoid name clashes in R
- Fields inherited from class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution
  engine, method, numericalMean, rName, upperBound, values
- Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
  random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Constructor Summary

Constructors
Constructor	Description
`RCensoredLogSplineDistribution()`	Deprecated. Might cause problems, when integrating the function, as no effective upper bound is given.
`RCensoredLogSplineDistribution(double maxTraceLength)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`getNumericalVariance()`
`java.lang.String`	`getObservedValuesString()`
`java.lang.String`	`getRightCensoredValuesString()`
`void`	`initWithValues(double[] observedValues, double[] censoredValues)`	Initializes the log spline density estimation with the observed and right censored values.

Methods inherited from class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution
addValues, cumulativeProbability, density, getNumericalMean, getSupportLowerBound, getSupportUpperBound, getValsString, isSupportConnected, isSupportLowerBoundInclusive, isSupportUpperBoundInclusive, probability, sample, sample

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
cumulativeProbability, getSolverAbsoluteAccuracy, inverseCumulativeProbability, logDensity, probability, reseedRandomGenerator

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - counter
```
protected static int counter
```
    static counter to avoid name clashes in R
- Constructor Detail
  - RCensoredLogSplineDistribution
```
public RCensoredLogSplineDistribution()
```
    Deprecated.
    Might cause problems, when integrating the function, as no effective upper bound is given.
  - RCensoredLogSplineDistribution
```
public RCensoredLogSplineDistribution(double maxTraceLength)
```
- Method Detail
  - initWithValues
```
public void initWithValues(double[] observedValues,
                           double[] censoredValues)
                    throws NonConvergenceException
```
    Initializes the log spline density estimation with the observed and right censored values. TODO: delete observations and censored values after fitting process, to increase performance.
    
    Parameters:
    
    observedValues -
    
    censoredValues -
    
    Throws:
    
    NonConvergenceException
  - getObservedValuesString
```
public java.lang.String getObservedValuesString()
```
  - getRightCensoredValuesString
```
public java.lang.String getRightCensoredValuesString()
```
  - getNumericalVariance
```
public double getNumericalVariance()
```
    Specified by:
    
    getNumericalVariance in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    getNumericalVariance in class RLogSplineDistribution